Enterprise RAG That Security Approves — and Teams Actually Use
Deploy a production-grade, permission-aware Knowledge Assistant inside your environment — with measured reliability, audit trails and operational guardrails built in.
Turn internal documents, systems and structured data into trusted, cited answers — without compromising governance or control.
Why Most Enterprise RAG Initiatives Stall
Copilots lack fine-grained permission alignment across complex data estates
DIY RAG pilots work in demos but fail security review
No evaluation framework → hallucinations go unmeasured
No regression testing → quality degrades silently
No monitoring → cost and latency spike as usage grows
What Makes This Different
Cloudaeon’s Enterprise Knowledge Assistant is a governed, testable, production-ready RAG system deployed in your tenant with:
Permission-aware retrieval aligned to enterprise identity
Grounded answers with citations
Evaluation baselines and hallucination checks
Regression testing before release
Monitoring for quality, latency and cost
Full audit
trails
Designed for Enterprise Buying Reality
1. Security & Governance — By Design
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Retrieval aligned to enterprise permissions
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Identity-layer integration (SSO / Entra / IAM)
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Audit-ready access trails
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Sensitive data handling and refusal rules
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Deployed inside your tenant/VPC
2. Measured Reliability — Not AI Guesswork
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Structured evaluation frameworks
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Quality baselines before rollout
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Regression testing for prompt + retrieval changes
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Ongoing monitoring dashboards
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Continuous feedback loops to improve answers
3. Adoption That
Drives ROI
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IT ticket deflection and faster incident resolution
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SOP and runbook access for operations
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Consistent answers for HR, Legal, Finance
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Support and sales knowledge acceleration
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Engineering troubleshooting and documentation search
Why Not Just Use Copilot — or Build It Yourself?
Off-the-shelf copilots:
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Limited custom retrieval logic
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Hard to tune evaluation and regression frameworks
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Less control over enterprise-specific guardrails
DIY RAG:
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Hidden engineering cost
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Governance complexity underestimated
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Evaluation and monitoring often missing
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Difficult to productionise at scale
How It Works
Step 1: Connect & Secure — Integrate priority data sources and apply permission-aware retrieval.
Step 2: Measure & Validate — Establish evaluation baseline and run regression tests.
Step 3: Deploy & Scale — Harden governance, CI/CD and monitor
quality, latency and cost.
Start with a 2-Week Proof of Value
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1–2 connected data sources
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Citations enabled
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Permission-aware retrieval
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Evaluation baseline
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Monitoring dashboards
What You Retain
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Runs in your tenant
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You control data, keys and identity
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Full source code handover
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Documentation and runbooks
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Reusable foundation for multiple assistants
